Book Image

Hadoop Essentials

By : Shiva Achari
Book Image

Hadoop Essentials

By: Shiva Achari

Overview of this book

This book jumps into the world of Hadoop and its tools, to help you learn how to use them effectively to optimize and improve the way you handle Big Data. Starting with the fundamentals Hadoop YARN, MapReduce, HDFS, and other vital elements in the Hadoop ecosystem, you will soon learn many exciting topics such as MapReduce patterns, data management, and real-time data analysis using Hadoop. You will also explore a number of the leading data processing tools including Hive and Pig, and learn how to use Sqoop and Flume, two of the most powerful technologies used for data ingestion. With further guidance on data streaming and real-time analytics with Storm and Spark, Hadoop Essentials is a reliable and relevant resource for anyone who understands the difficulties - and opportunities - presented by Big Data today. With this guide, you'll develop your confidence with Hadoop, and be able to use the knowledge and skills you learn to successfully harness its unparalleled capabilities.
Table of Contents (15 chapters)
Hadoop Essentials
About the Author
About the Reviewers
Pillars of Hadoop – HDFS, MapReduce, and YARN


The Hadoop system can have multiple jobs and these have to be scheduled many times. Hadoop jobs' scheduling is complex and difficult to create, manage, and monitor. We can use a system such as Oozie to coordinate and monitor Hadoop jobs efficiently, as mentioned next:

  • Apache Oozie: Oozie is a workflow and coordination service processing system that lets the users manage multiple jobs as well as chain of jobs written in MapReduce, Pig, and Hive, also java programs and shell sripts too, and can link them to one another. Oozie is an extensible, scalable, and data-aware service. Oozie can be used to set rules for beginning and ending a workflow and it can also detect the completion of tasks.